Patent application number | Description | Published |
20100280441 | OVERNIGHT CLOSED-LOOP INSULIN DELIVERY WITH MODEL PREDICTIVE CONTROL AND GLUCOSE MEASUREMENT ERROR MODEL - A closed-loop system for insulin infusion overnight uses a model predictive control algorithm (“MPC”). Used with the MPC is a glucose measurement error model which was derived from actual glucose sensor error data. That sensor error data included both a sensor artifacts component, including dropouts, and a persistent error component, including calibration error, all of which was obtained experimentally from living subjects. The MPC algorithm advised on insulin infusion every fifteen minutes. Sensor glucose input to the MPC was obtained by combining model-calculated, noise-free interstitial glucose with experimentally-derived transient and persistent sensor artifacts associated with the FreeStyle Navigator® Continuous Glucose Monitor System (“FSN”). The incidence of severe and significant hypoglycemia reduced 2300- and 200-fold, respectively, during simulated overnight closed-loop control with the MPC algorithm using the glucose measurement error model suggesting that the continuous glucose monitoring technologies facilitate safe closed-loop insulin delivery. | 11-04-2010 |
20100295686 | USABILITY FEATURES FOR INTEGRATED INSULIN DELIVERY SYSTEM - Various systems and methods for improving the usability of continuous glucose monitors and drug delivery pumps are described. | 11-25-2010 |
20100298685 | ADAPTIVE INSULIN DELIVERY SYSTEM - A proactive system and method in which levels of glucose are monitored after a meal signal and compared to a safe range. If a monitored glucose level is outside the safe range, a post-prandial vertex of the glucose level is identified and an action is provided to more rapidly return the glucose level to a target level within the safe range than if no action was provided. In another aspect a control parameter in an IDM system is adjusted by determining a performance metric of the system as a function of the levels of glucose and a medication administration signal over a first window of time; and, if the performance metric is outside an expected range, adjusting the control parameter to adjust an amount of medication and to bring the performance metric inside the expected range. | 11-25-2010 |
20100298765 | SAFETY FEATURES FOR INTEGRATED INSULIN DELIVERY SYSTEM - Safety features are applied to an integrated insulin delivery system to enhance safety while accounting for glucose sensor bias and calibration errors. One safety feature includes comparisons of calibrations of the sensor to nominal sensitivity and taking action, such as limiting insulin delivery or taking a further calibration of the sensor. In another feature, an automatic resumption of a basal delivery rate is programmed into the delivery device to avoid the possibility of complete loss of delivery of insulin in the event that communication with the delivery device is disrupted. Other features include steps taken to avoid hypoglycemia in the event that the sensor is negatively biased. | 11-25-2010 |
20100305965 | INTEGRATED REPORT GENERATION OF MEDICAL DATA WITH VARYING LEVELS OF INFORMATION - A system for generating a report having varying integrated levels of medical information related to a health condition is provided. The system comprises a host server having a host database and a client component that connects to the host server. The client component includes a report software application that is configured to generate a report and provide a GUI on the display. A processor populates the GUI based upon received and processed medical information from the host server component and arranges the medical information in predetermined, inter-related levels. A cursor is provided to allow the user to point to an area of interest in the display and a further level of information pertaining to one or more layers of medical information is viewable by a user when the cursor is pointed over an image on the display. | 12-02-2010 |
20100317952 | METHODS FOR REDUCING FALSE HYPOGLYCEMIA ALARM OCCURRENCE - A system and method for reducing the number of hypoglycemic alarms presented to a user is presented. The system and methods include use of model based state estimation and variable-delayed threshold values to balance the risk of not presenting an alarm caused by an actual hypoglycemic state with the presentation of alarms caused by artifacts in the signals produced by a continuous glucose monitor. | 12-16-2010 |
20110021898 | REAL TIME MANAGEMENT OF DATA RELATING TO PHYSIOLOGICAL CONTROL OF GLUCOSE LEVELS - Continuous glucose monitoring (CGM) data and insulin delivery data are used to generate more reliable projected alarms related to a projected glucose levels. A memory stores endogenous data related to measurements of glucose level in a patient, and also stores exogenous data, such as insulin on board, both of which are used by a processor to create projected alarms. Profiles of CGM data are created for use in tuning patient-specific insulin data, such at basal rate, carb ratio, and insulin sensitivity. A processor searches for patterns in the data profiles and if found, recommended changes to patient-specific insulin data are provided to permit more accurate control over a patient's glucose levels. | 01-27-2011 |
20110119080 | METHOD AND SYSTEM FOR ANALYTE DATA TRANSMISSION AND REPORT GENERATION - Medical data provided by a physiological parameter sensor is stored on a patient's hand held device used for management of the patient's medical condition. The hand held device is programmed to upload the stored medical data in batch to a remote server at a time during which connection and data transfer services are less expensive. In another aspect, a docking station is used for interacting with the hand held device and uploading the data in batch. In another aspect, the hand held device is programmed to select and organize stored medical data into one of a plurality of report formats, apply a selected printer driver to the report, and output the processed medical data to an appropriate printer for printing a hard copy report for review by a health care provider at a patient's examination. In other aspects, a cradle or removable memory device are used for the purpose. | 05-19-2011 |
20110160544 | SYSTEM AND METHOD FOR ANALYSIS OF MEDICAL DATA TO ENCOURAGE HEALTH CARE MANAGEMENT - System and method analyze medical data of a patient having a disease afflicted health condition and action is taken to encourage the patient to perform wellness-enhancing activities and to take and report medical data more frequently. Consideration in the form of reduced insurance costs, medical supply costs, and medical equipment costs are given to patients who comply. Health care providers are advised that analysis of the patient's medical data is reimbursable and are also encouraged to perform such analyses through rewards. Patient data may be stored in a remote memory site, accessed by HCPs for analysis, and proprietary software may be used to communicate directly to insurance companies or other medical benefit entities. | 06-30-2011 |
20110166875 | SYSTEM AND METHOD FOR MANAGING MEDICAL DATA AND FACILITATING REIMBURSEMENT FOR HEALTH CARE - System and method receive medical data of a patient having a disease afflicted health condition for processing and analysis of that data. Software installed on a health care provider's computer for processing the medical data includes a GUI reimbursement window that informs the HCP of reimbursement possibilities for analysis of the data and counseling of the patient. The reimbursement window also includes hyperlinks and may also include codes for insurance claims. Lists of reimbursement entities, pre-authorization instructions, coding instructions, and contacts may all be included and may be personalized for a particular patient. In one case, a complete bill is created and submitted to an insurance entity. In another, a patient data base is created so that the reimbursement window can inform the HCP of patient analysis frequency, which may affect reimbursement. | 07-07-2011 |
20110256024 | Modular Analyte Monitoring Device - A modular analyte monitoring device comprising a base module and an attachment module is disclosed. The attachment module is removably coupled to the base module and includes a program storing component having a program update stored therein to be transmitted to the base module when coupled. The base module may thereafter operate using the program update. | 10-20-2011 |
20110287528 | Devices, Systems, and Methods Related to Analyte Monitoring and Management - Analyte monitoring devices, systems, and methods are provided that relate to: enabling different application features on a data processing device for analyte monitoring devices with different analyte monitoring features; programming analyte monitoring devices in advance; personalizing an analyte monitoring device; graphically representing a remaining insulin level in a user body; and graphically representing analyte measurement related data for on-demand readings; protecting access to feature of an analyte monitoring device. | 11-24-2011 |
20120330227 | INTEGRATED INSULIN DELIVERY SYSTEM HAVING DELIVERY SAFETY FEATURES - An integrated insulin delivery system having safety features for controlling medication delivery includes automatic resumption of basal rate after a particular event, such as termination of a bolus, expiration of a time period, delayed resumption after the bolus has terminated, IOB comparison, and others. Other safety features include overriding a delivery control that may result in hypoglycemia, terminating an extended bolus or temporary basal rate in view of a glucose signal indicating imminent carbohydrate deficiency, and controlling the delivery rate to take an asymmetrical bias range of a glucose sensor into account to avoid hypoglycemia. | 12-27-2012 |
20130006081 | Methods for Generating Hybrid Analyte Level Output, and Devices and Systems Related Thereto - Generally, methods, devices, and systems for generating a hybrid analyte level output are provided. The uncompensated analyte levels lag in time with respect to the lag-compensated analyte levels, and the hybrid analyte level output tracks between the uncompensated analyte levels and the lag-compensated analyte levels according to predetermined criteria. | 01-03-2013 |
20130158376 | Temperature-Compensated Analyte Monitoring Devices, Systems, and Methods Thereof - Methods, devices and systems related providing accurate glucose levels in view of temperatures that may adversely affect glucose value. | 06-20-2013 |
20140060145 | Analyte Monitoring Methods, Devices and Systems for Recommending Confirmation Tests - In some aspects, methods, devices, and systems for monitoring sensor data and indicating recommendations for confirmation tests on a user interface are provided. Sensor data is received and is monitored to detect predetermined signal characteristics that are associated with a likelihood of inaccuracy of the sensor data. A recommendation for a confirmation test to be performed is indicated on a user interface after the occurrence of a predetermined signal characteristic is detected. | 03-06-2014 |
20140066890 | USABILITY FEATURES FOR INTEGRATED INSULIN DELIVERY SYSTEM - Various systems and methods for improving the usability of continuous glucose monitors and drug delivery pumps are described. | 03-06-2014 |
20140067421 | Data Synchronization Between Two or More Analyte Detecting Devices in a Database - An analyte measurement system includes one or more handheld analyte meters and/or measurement devices and a means for collecting data, preserving data integrity, and uniquely identifying patient data received from multiple sources. For example, provided herein is a means to uniquely identify patients and their data when the data is collected from one or more measurement devices. By providing a way to allow the patients to use multiple sources to collect data, the system described herein provides patients with more flexibility, which should encourage better compliance to protocols. Further, by having a way to uniquely identify patients' data without requiring a patient to only use one analyte meter, for example, data can be centralized and analysis can be done with more assurance that all of the patient's data is being considered in the analyses. | 03-06-2014 |
20140081236 | INTEGRATED CLOSED-LOOP MEDICATION DELIVERY WITH ERROR MODEL AND SAFETY CHECK - A closed-loop system for insulin infusion overnight uses a model predictive control algorithm (“MPC”). Used with the MPC is a glucose measurement error model which was derived from actual glucose sensor error data. That sensor error data included both a sensor artifacts component, including dropouts, and a persistent error component, including calibration error, all of which was obtained experimentally from living subjects. The MPC algorithm advised on insulin infusion every fifteen minutes. Sensor glucose input to the MPC was obtained by combining model-calculated, noise-free interstitial glucose with experimentally-derived transient and persistent sensor artifacts associated with the FreeStyle Navigator® Continuous Glucose Monitor System (“FSN”). The incidence of severe and significant hypoglycemia reduced 2300- and 200-fold, respectively, during simulated overnight closed-loop control with the MPC algorithm using the glucose measurement error model suggesting that the continuous glucose monitoring technologies facilitate safe closed-loop insulin delivery. | 03-20-2014 |
20140081662 | Sensor-Based Informatics Telemedicine Disease Management Solution - Provided herein are systems and associated devices configured to capture biometric patient data; e.g., blood glucose data; transmit such data to a location-independent “cloud”, the Internet, or other shared server system, hereinafter referred to as “the Cloud”; and provide automated data-based algorithms to analyze data and deliver therapy recommendations, related output, and/or therapy recommendation decision support to one or more authorized stakeholders. | 03-20-2014 |
20140088392 | Feedback from Cloud or HCP to Payer or Patient via Meter or Cell Phone - Presented herein are one or more software applications to help a user manager their diabetes. Embodiments and descriptions of the various applications are provided below in conjunction with an analyte measurement device. | 03-27-2014 |
20140088393 | Software Applications Residing on Handheld Analyte Determining Devices - Presented herein is a handheld analyte measurement device. The analyte measurement device includes one or more software applications to help the user manager their diabetes. Embodiments and descriptions of the various applications are provided below in conjunction with the handheld analyte measurement device. | 03-27-2014 |
20140095081 | Methods of Analyte Monitoring, and Devices and Systems Related Thereto - Methods, devices, and systems are provided that determine analyte trends according to different methods depending on whether a change-resistant state is active or not active. The method used when the change-resistant state is activated provides for different requirements for a resulting analyte trend to transition between states (e.g., level to non-level). Furthermore, in some aspects, methods, devices, and systems of selecting or modifying a response rate of an analyte monitoring device for an individual user are provided. User instructions for selecting or modifying a response rate of the device or system is received externally via a user interface or communication channel. The response rate of the analyte monitoring device or system is then selected or modified to the first response rate, and the device or system operated with the first response rate. | 04-03-2014 |
20140142981 | Analytics and Data Mining in Cloud Following Upload of Analyte Data via GSM or CDM - Presented herein is a web-based software application that clinically analyzes multiple sources of diabetes patient data against codified care plan guidelines. The software application creates risk-based stratifications of a patient population, initiates rule-based notifications, allocates care provider resources, guides role-based workflow, manages patient communications, and provides therapy recommendations. | 05-22-2014 |
20140148659 | Methods, Devices, and Systems Related to Analyte Monitoring - Generally, methods, devices, and systems related to analyte monitoring and data logging are provided—e.g., as related to in vivo analyte monitoring devices and systems. In some aspects, methods, devices, and systems are provided that relate to enable related settings based on an expected use of an in vivo positioned sensor; logging or otherwise recording analyte levels acquired or derived—e.g., sample analyte levels more frequently than they are logged or otherwise recorded in memory; dynamically adjust the data logging frequency; randomly determine times of acquiring or storing analyte levels from the in-vivo positioned analyte sensors; and enable recording related settings when the system is operable. | 05-29-2014 |
20140180203 | INTEGRATED INSULIN DELIVERY SYSTEM HAVING SAFETY FEATURES TO PREVENT HYPOGLYCEMIA - Safety features are applied to an integrated insulin delivery system to enhance safety by controlling medication delivery including the automatic resumption of basal rate after a particular event, such as termination of a bolus, expiration of a time period, delayed resumption after the bolus has terminated, IOB comparison, and others. Other safety features include overriding a delivery control that may result in hypoglycemia, and terminating an extended bolus or temporary basal rate in view of a glucose signal indicating imminent carbohydrate deficiency. In another feature, an automatic resumption of a basal delivery rate is programmed into the delivery device to avoid the possibility of complete loss of delivery of insulin in the event that communication with the delivery device is disrupted. | 06-26-2014 |
20140187887 | GLYCEMIC RISK DETERMINATION BASED ON VARIABILITY OF GLUCOSE LEVELS - A system and method for determining glycemic risks based on an analysis of glucose data includes visualization of hypoglycemia, variability, and hyperglycemia with a control grid, increasing the accuracy of glucose estimates using a combination of CGM and HbAlc, calculating glycemic risk by applying a probability distribution, and tailoring SMBG test schedules based on CGM use/wear. | 07-03-2014 |
20140188400 | ANALYSIS OF GLUCOSE MEDIAN, VARIABILITY, AND HYPOGLYCEMIA RISK FOR THERAPY GUIDANCE - A system and method to provide guidance for diabetes therapy includes determining glycemic risks based on an analysis of glucose data. The analysis includes visualization of a glucose median, the variability of glucose in a patient, and the risk of hypoglycemia. An Advanced Daily Patterns report includes a visualization of an ambulatory glucose profile and a glucose control measure. The glucose control measure provides a highly visible and understandable display of the glucose condition of a patient visually expressed in the categories of low glucose, median glucose, and glucose variability. | 07-03-2014 |
20140350369 | SYSTEM AND METHOD TO MANAGE DIABETES BASED ON GLUCOSE MEDIAN, GLUCOSE VARIABILITY, AND HYPOGLYCEMIC RISK - A system and method provides a glucose report for determining glycemic risk based on an ambulatory glucose profile of glucose data over a time period, a glucose control assessment based on median and variability of glucose, and indicators of high glucose variability. Time of day periods are shown at which glucose levels can be seen. A median glucose goal and a low glucose line provide coupled with glucose variability provide a view into effects that raising or lowering the median goal would have. Likelihood of low glucose, median glucose compared to goal, and variability of glucose below median provide probabilities based on glucose data. Patterns can be seen and provide guidance for treatment. | 11-27-2014 |